Columbia University

∙ New York , United States ∙ 0 followers

Located In New York City, The School at Columbia University is a Private K-8 Day School serving neighborhood families and Columbia University employees.

Featured Researchers

Wei Liu
187 publications
Lei Zhang
145 publications
Wei Zhang
136 publications
Xi Chen
117 publications
David M. Blei
75 publications
Shih-Fu Chang
60 publications
Cynthia Rudin
58 publications
Li Wang
55 publications
Yang Feng
50 publications
Fan Zhang
48 publications
Yizhou Yu
43 publications

How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

In recent years there has been an increasing trend in which data scienti...
09/08/2019 ∙ by Yaoli Mao, et al. ∙ 71 ∙ share

read it
AutoML using Metadata Language Embeddings

As a human choosing a supervised learning algorithm, it is natural to be...
10/08/2019 ∙ by Iddo Drori, et al. ∙ 36 ∙ share

read it
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax

The Gumbel-Softmax is a continuous distribution over the simplex that is...
12/19/2019 ∙ by Andres Potapczynski, et al. ∙ 36 ∙ share

read it
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples

Modern image classification systems are often built on deep neural netwo...
11/25/2019 ∙ by Chang Xiao, et al. ∙ 33 ∙ share

read it
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing

Existing methods for face image manipulation generally focus on editing ...
05/06/2019 ∙ by Sen-Zhe Xu, et al. ∙ 28 ∙ share

read it
Theme-Matters: Fashion Compatibility Learning via Theme Attention

Fashion compatibility learning is important to many fashion markets such...
12/12/2019 ∙ by Jui-Hsin Lai, et al. ∙ 28 ∙ share

read it
Noise2Blur: Online Noise Extraction and Denoising

We propose a new framework called Noise2Blur (N2B) for training robust i...
12/03/2019 ∙ by Huangxing Lin, et al. ∙ 25 ∙ share

read it
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling

We consider the problem of inferring the values of an arbitrary set of v...
02/06/2019 ∙ by Hao Wang, et al. ∙ 24 ∙ share

read it
Unrestricted Adversarial Attacks for Semantic Segmentation

Semantic segmentation is one of the most impactful applications of machi...
10/06/2019 ∙ by Guangyu Shen, et al. ∙ 23 ∙ share

read it
Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval

Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-doma...
04/03/2019 ∙ by Hao Wang, et al. ∙ 22 ∙ share

read it
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation

We present a robot navigation system that uses an imitation learning fra...
09/20/2019 ∙ by David Watkins-Valls, et al. ∙ 21 ∙ share

read it
Learning to Compose Dynamic Tree Structures for Visual Contexts

We propose to compose dynamic tree structures that place the objects in ...
12/05/2018 ∙ by Kaihua Tang, et al. ∙ 20 ∙ share

read it
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health

In many review classification applications, a fine-grained analysis of t...
09/30/2019 ∙ by Giannis Karamanolakis, et al. ∙ 20 ∙ share

read it
Zero Shot Learning on Simulated Robots

In this work we present a method for leveraging data from one source to ...
10/04/2019 ∙ by Robert Kwiatkowski, et al. ∙ 18 ∙ share

read it
Controversial stimuli: pitting neural networks against each other as models of human recognition

Distinct scientific theories can make similar predictions. To adjudicate...
11/21/2019 ∙ by Tal Golan, et al. ∙ 18 ∙ share

read it
Practical Deep Reinforcement Learning Approach for Stock Trading

Stock trading strategy plays a crucial role in investment companies. How...
11/19/2018 ∙ by Zhuoran Xiong, et al. ∙ 16 ∙ share

read it
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation

Deep generative models have been successfully applied to many applicatio...
01/28/2019 ∙ by Zihan Ding, et al. ∙ 16 ∙ share

read it
Unsupervised Deep Tracking

We propose an unsupervised visual tracking method in this paper. Differe...
04/03/2019 ∙ by Ning Wang, et al. ∙ 16 ∙ share

read it
ES-MAML: Simple Hessian-Free Meta Learning

We introduce ES-MAML, a new framework for solving the model agnostic met...
09/25/2019 ∙ by Xingyou Song, et al. ∙ 15 ∙ share

read it
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

The ability to extrapolate gene expression dynamics in living single cel...
01/15/2020 ∙ by Nanyan Zhu, et al. ∙ 14 ∙ share

read it
PointHop: An Explainable Machine Learning Method for Point Cloud Classification

An explainable machine learning method for point cloud classification, c...
07/30/2019 ∙ by Min Zhang, et al. ∙ 12 ∙ share

read it
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics

We present an end-to-end statistical framework for personalized, accurat...
08/27/2019 ∙ by Iñigo Urteaga, et al. ∙ 12 ∙ share

read it
Rethinking Generative Coverage: A Pointwise Guaranteed Approach

All generative models have to combat missing modes. The conventional wis...
02/13/2019 ∙ by Peilin Zhong, et al. ∙ 12 ∙ share

read it
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging

We reproduced the results of CheXNet with fixed hyperparameters and 50 d...
12/08/2019 ∙ by John R. Zech, et al. ∙ 12 ∙ share

read it
Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces

We present a new algorithm ASEBO for conducting optimization of high-dim...
03/07/2019 ∙ by Krzysztof Choromanski, et al. ∙ 11 ∙ share

read it
General Partial Label Learning via Dual Bipartite Graph Autoencoder

We formulate a practical yet challenging problem: General Partial Label ...
01/05/2020 ∙ by Brian Chen, et al. ∙ 11 ∙ share

read it
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

In this paper, we aim to address the problem of human interaction recogn...
11/01/2018 ∙ by Xiangbo Shu, et al. ∙ 10 ∙ share

read it
Moment Matching for Multi-Source Domain Adaptation

Conventional unsupervised domain adaptation (UDA) assumes that training ...
12/04/2018 ∙ by Xingchao Peng, et al. ∙ 10 ∙ share

read it
Fully-Featured Attribute Transfer

Image attribute transfer aims to change an input image to a target one w...
02/17/2019 ∙ by De Xie, et al. ∙ 10 ∙ share

read it
Substituting Gadolinium in Brain MRI Using DeepContrast

Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabol...
01/15/2020 ∙ by Haoran Sun, et al. ∙ 9 ∙ share

read it
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling

Many real-world systems studied are governed by complex, nonlinear dynam...
11/29/2018 ∙ by Josue Nassar, et al. ∙ 8 ∙ share

read it
Deep Reinforcement Learning for Intelligent Transportation Systems

Intelligent Transportation Systems (ITSs) are envisioned to play a criti...
12/03/2018 ∙ by Xiao-Yang Liu, et al. ∙ 8 ∙ share

read it
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices

We consider the problem of functional matrix factorization, finding low-...
06/10/2019 ∙ by Wesley Tansey, et al. ∙ 8 ∙ share

read it
SemEval-2015 Task 10: Sentiment Analysis in Twitter

In this paper, we describe the 2015 iteration of the SemEval shared task...
12/05/2019 ∙ by Sara Rosenthal, et al. ∙ 8 ∙ share

read it
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes

We propose a new class of structured methods for Monte Carlo (MC) sampli...
05/29/2019 ∙ by Krzysztof Choromanski, et al. ∙ 7 ∙ share

read it
Image Outpainting and Harmonization using Generative Adversarial Networks

Although the inherently ambiguous task of predicting what resides beyond...
12/23/2019 ∙ by Basile Van Hoorick, et al. ∙ 7 ∙ share

read it
(Sequential) Importance Sampling Bandits

The multi-armed bandit (MAB) problem is a sequential allocation task whe...
08/08/2018 ∙ by Iñigo Urteaga, et al. ∙ 6 ∙ share

read it
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding

We address the problem of phrase grounding by learning a multi-level com...
11/28/2018 ∙ by Hassan Akbari, et al. ∙ 6 ∙ share

read it
Hierarchical Macro Strategy Model for MOBA Game AI

The next challenge of game AI lies in Real Time Strategy (RTS) games. RT...
12/19/2018 ∙ by Bin Wu, et al. ∙ 6 ∙ share

read it
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes

Recent advances in on-policy reinforcement learning (RL) methods enabled...
03/08/2019 ∙ by Bohan Wu, et al. ∙ 6 ∙ share

read it
Two models of double descent for weak features

The "double descent" risk curve was recently proposed to qualitatively d...
03/18/2019 ∙ by Mikhail Belkin, et al. ∙ 6 ∙ share

read it
How many variables should be entered in a principal component regression equation?

We study least squares linear regression over N uncorrelated Gaussian fe...
06/04/2019 ∙ by Ji Xu, et al. ∙ 6 ∙ share

read it
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training

User-generated reviews can be decomposed into fine-grained segments (e.g...
09/01/2019 ∙ by Giannis Karamanolakis, et al. ∙ 6 ∙ share

read it
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network

Two main obstacles preventing the widespread adoption of variational Bay...
05/23/2019 ∙ by Oscar Chang, et al. ∙ 5 ∙ share

read it
A New Distribution on the Simplex with Auto-Encoding Applications

We construct a new distribution for the simplex using the Kumaraswamy di...
05/28/2019 ∙ by Andrew Stirn, et al. ∙ 5 ∙ share

read it
Reinforcement Learning with Chromatic Networks

We present a new algorithm for finding compact neural networks encoding ...
07/10/2019 ∙ by Xingyou Song, et al. ∙ 5 ∙ share

read it
The continuous Bernoulli: fixing a pervasive error in variational autoencoders

Variational autoencoders (VAE) have quickly become a central tool in mac...
07/16/2019 ∙ by Gabriel Loaiza-Ganem, et al. ∙ 5 ∙ share

read it
Video Re-localization

Many methods have been developed to help people find the video contents ...
08/05/2018 ∙ by Yang Feng, et al. ∙ 4 ∙ share

read it
Boosting Trust Region Policy Optimization by Normalizing Flows Policy

We propose to improve trust region policy search with normalizing flows ...
09/27/2018 ∙ by Yunhao Tang, et al. ∙ 4 ∙ share

read it
Agent Embeddings: A Latent Representation for Pole-Balancing Networks

We show that it is possible to reduce a high-dimensional object like a n...
11/12/2018 ∙ by Oscar Chang, et al. ∙ 4 ∙ share

read it